
@inproceedings{nadi2010,
 title={{Does the past say it all? Using history to predict change sets in a CMDB}},
  author={Nadi, S. and Holt, R. and Mankovskii, S.},
 booktitle = {CSMR'10: Proceedings of the 14th European Conference on Software Maintenance and Reengineering},
 year = {2010},
 address = {Madrid, Spain}
 }

@inproceedings{mirarab2007,
author={Mirarab, S. and Hassouna, A. and Tahvildari, L.},
journal={ ICPC '07: Proceedings of the 15th IEEE International Conference on Program Comprehension}, 
title={Using Bayesian Belief Networks to Predict Change Propagation in Software Systems},
year={2007},
month={jun.},
pages={177 -188},
ISSN={1063-6897}
}

@conference{yuan2003importance,
  title={{An importance sampling algorithm based on evidence pre-propagation}},
  author={Yuan, C. and Druzdzel, M.J.},
  booktitle={Proceedings of the 19th Annual Conference on Uncertainty on Artificial Intelligence},
  pages={624--631},
  year={2003},
  organization={Citeseer}
}

@article{heckerman1995learning,
  title={{Learning Bayesian networks: The combination of knowledge and statistical data}},
  author={Heckerman, D. and Geiger, D. and Chickering, D.M.},
  journal={Machine learning},
  volume={20},
  number={3},
  pages={197--243},
  issn={0885-6125},
  year={1995},
  publisher={Springer}
}



@article{dempster1977maximum,
  title={{Maximum likelihood from incomplete data via the EM algorithm}},
  author={Dempster, A.P. and Laird, N.M. and Rubin, D.B. and others},
  journal={Journal of the Royal Statistical Society. Series B (Methodological)},
  volume={39},
  number={1},
  pages={1--38},
  issn={0035-9246},
  year={1977},
  publisher={Royal Statistical Society}
}

@article{zhou2008,
author = {Yu Zhou and Michael W\"{u}rsch and Emanuel Giger and Harald C. Gall and Jian L?},
title = {A Bayesian Network Based Approach for Change Coupling Prediction},
journal ={Reverse Engineering, Working Conference on},
volume = {0},
issn = {1095-1350},
year = {2008},
pages = {27-36},
doi = {http://doi.ieeecomputersociety.org/10.1109/WCRE.2008.39},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA}}

@article{friedman2000using,
  title={{Using bayesian networks to analyze expression data}},
  author={Friedman, N. and Linial, M. and Nachman, I. and Pe'er, D.},
  journal={Journal of computational biology},
  volume={7},
  number={3-4},
  pages={601--620},
  year={2000},
  publisher={Mary Ann Liebert, Inc.}
}

@article{friedman1996learning,
  title={{Learning Bayesian Networks with Local Structure}},
  author={Friedman, N. and Goldzsmidt, M.},
  year={1996}
}


@article{tang2007using,
  title={{Using Bayesian belief networks for change impact analysis in architecture design}},
  author={Tang, A. and Nicholson, A. and Jin, Y. and Han, J.},
  journal={Journal of Systems and Software},
  volume={80},
  number={1},
  pages={127--148},
  year={2007},
  publisher={Elsevier}
}

@article{wong-change,
  title={{Change Impact Analysis with Stochastic Dependencies}},
  author={Wong, S. and Cai, Y. and Dalton, M.},
journal = {submitted to ICSE 2011}
}

@article{cooper1992bayesian,
  title={{A Bayesian method for the induction of probabilistic networks from data}},
  author={Cooper, G.F. and Herskovits, E.},
  journal={Machine learning},
  volume={9},
  number={4},
  pages={309--347},
  issn={0885-6125},
  year={1992},
  publisher={Springer}
}

@book{witten2005data,
  title={{Data Mining: Practical machine learning tools and techniques}},
  author={Witten, I.H. and Frank, E.},
  isbn={0120884070},
  year={2005},
  publisher={Morgan Kaufmann Pub}
}

@article{itil,
title = {Office of Government Commerce (OGC), ed.: Service Support},
publisher = {The Stationary Office, Norwich, UK},
journal = {IT Infrastructure Library (ITIL)},
year = {2000},
key = {Office of Government Commerce (OGC), ed.: Service Support}
}

@article{hall2009weka,
  title={{The WEKA data mining software: An update}},
  author={Hall, M. and Frank, E. and Holmes, G. and Pfahringer, B. and Reutemann, P. and Witten, I.H.},
  journal={ACM SIGKDD Explorations Newsletter},
  volume={11},
  number={1},
  pages={10--18},
  issn={1931-0145},
  year={2009},
  publisher={ACM}
}


@Misc{banjotool,
key = {Banjo},
TITLE = {Banjo},
HOWPUBLISHED = {"\url{http://www.cs.duke.edu/~amink/software/banjo/}"}
}

@Misc{javabayestool,
key = {{JavaBayes}},
TITLE = {JavaBayes Version 0.346 [Online]},
HOWPUBLISHED = {"\url{http://www-2.cs.cmu.edu/~javabayes/Home/}"}
}

@MISC{van79,
    author = {C.J. van Rijsbergen},
    title = {Information Retrieval},
    year = {1979}
}

@inproceedings{hassan2004predicting,
 author = {Hassan, Ahmed E. and Holt, Richard C.},
 title = {Predicting Change Propagation in Software Systems},
 booktitle = {ICSM '04: Proceedings of the 20th IEEE International Conference on Software Maintenance},
 year = {2004},
 pages = {284--293},
 publisher = {IEEE Computer Society},
 address = {Washington, DC, USA},
 }


@article{benbayesian,
  title={{Bayesian networks}},
  author={Ben-Gal, I.},
  publisher={Wiley Online Library}
}

@article{rissanen1986stochastic,
  title={{Stochastic complexity and statistical inference}},
  author={Rissanen, J.},
  journal={Analysis and Optimization of Systems},
  pages={391--407},
  year={1986},
  publisher={Springer}
}



@article{charniak1991bayesian,
  title={{Bayesian Networks without Tears.}},
  author={Charniak, E.},
  journal={AI magazine},
  volume={12},
  number={4},
  pages={50},
  issn={0738-4602},
  year={1991}
}

@book{pearl1988probabilistic,
  title={{Probabilistic reasoning in intelligent systems: networks of plausible inference}},
  author={Pearl, J.},
  isbn={1558604790},
  year={1988},
  publisher={Morgan Kaufmann}
}

@article{lam1994learning,
  title={{Learning Bayesian belief networks: An approach based on the MDL principle}},
  author={Lam, W. and Bacchus, F. and University of Waterloo. Dept. of Computer Science and University of Waterloo. Faculty of Mathematics},
  journal={Computational intelligence},
  volume={10},
  number={4},
  pages={269--293},
  year={1994},
  publisher={Wiley Online Library}
}







